An Enhanced YOLOv5 Model for Greenhouse Cucumber Fruit Recognition Based on Color Space Features

The identification of cucumber fruit is an essential procedure in automated harvesting in greenhouses. In order to enhance the identification ability of object detection models for cucumber fruit harvesting, an extended RGB image dataset (<i>n</i> = 801) with 3943 positive and negative l...

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Bibliographic Details

Published in:	Agriculture
Main Authors:	Ning Wang, Tingting Qian, Juan Yang, Linyi Li, Yingyu Zhang, Xiuguo Zheng, Yeying Xu, Hanqing Zhao, Jingyin Zhao
Format:	Article
Language:	English
Published:	MDPI AG 2022-09-01
Subjects:	deep learning color space ReliefF characteristic analysis near color recognition
Online Access:	https://www.mdpi.com/2077-0472/12/10/1556